feat: improving load_array to reduce format line length (#3590)

* feat: reducing format lenght in load_array

* tests: improving tests

* chore: adding changelog file 3590.miscellaneous.md [dependabot-skip]

---------

Co-authored-by: pyansys-ci-bot <92810346+pyansys-ci-bot@users.noreply.github.com>

doc/changelog.d/3590.miscellaneous.md

@@ -0,0 +1 @@
+feat: improving load_array to reduce format line length

src/ansys/mapdl/core/mapdl_extended.py

@@ -2314,7 +2314,7 @@ def load_array(self, name, array):
         np.savetxt(
             filename,
             array,
-            delimiter=",",
+            delimiter="",
             header="File generated by PyMAPDL:load_array",
             fmt="%24.18e",
         )
@@ -2329,7 +2329,7 @@ def load_array(self, name, array):
             n2 = imax
             n3 = kmax
             self.vread(name, filename, n1=n1, n2=n2, n3=n3, label=label, nskip=1)
-            fmt = "(" + ",',',".join(["E24.18" for i in range(jmax)]) + ")"
+            fmt = f"({jmax}E24.18)"
             logger.info("Using *VREAD with format %s in %s", fmt, filename)
             self.run(fmt)
 

tests/test_parameters.py

@@ -134,11 +134,20 @@ def test__get_parameter_array(mapdl, cleared, number):
     assert np.allclose(array, mapdl.parameters._get_parameter_array(name, shape))
 
     # High number
-    with pytest.raises(MapdlRuntimeError):
-        shape = (100, 100)
-        array = np.ones(shape) * number
-        mapdl.load_array(name=name, array=array)
-        mapdl.parameters._get_parameter_array(name, shape)
+    shape = (100, 100)
+    array = np.ones(shape) * number
+    mapdl.load_array(name=name, array=array)
+    assert np.allclose(array, mapdl.parameters._get_parameter_array(name, shape))
+
+    # Random number
+    array = np.random.rand(*shape)
+    mapdl.load_array(name=name, array=array)
+    assert np.allclose(array, mapdl.parameters._get_parameter_array(name, shape))
+
+    # Random big number
+    array = np.random.rand(*shape) * number
+    mapdl.load_array(name=name, array=array)
+    assert np.allclose(array, mapdl.parameters._get_parameter_array(name, shape))
 
 
 def parameters_name(mapdl, func, par_name):